AI Component

Framework

AI/ML frameworks sit at the bottom of every AI stack — virtually every production AI system depends transitively on PyTorch or TensorFlow at the training layer, and on LangChain, LlamaIndex, or a similar orchestrator at the application layer. That concentration means a single vulnerability often affects tens of thousands of downstream services. The CVE patterns are recognisable: unsafe deserialization in model loading (the long tail of pickle), template injection in LangChain's prompt-construction utilities, SSRF in LlamaIndex's data-loader connectors, and path traversal in MLflow's experiment storage. PyTorch itself has shipped several high-severity CVEs around its distributed RPC layer. Because these libraries upgrade frequently and downstream applications pin loosely, patching is a real operational problem. AI Threat Alert tracks framework-level CVEs prominently because a single advisory often means urgent work for hundreds of teams.

1912
Total CVEs
96
Pages
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Current
Severity CVE CVSS
HIGH CVE-2024-0520 8.8
HIGH CVE-2024-2928 7.5
MEDIUM CVE-2024-3099 5.4
HIGH CVE-2024-27134 7.0
MEDIUM CVE-2024-6838 5.3
HIGH CVE-2024-8859 7.5
HIGH CVE-2025-0453 7.5
HIGH CVE-2025-1473 7.1
MEDIUM CVE-2025-1474 5.5
MEDIUM CVE-2025-52967 5.8
CRITICAL CVE-2025-11200 9.8
CRITICAL CVE-2025-11201 9.8
HIGH CVE-2025-14279 8.1
HIGH CVE-2025-10279 7.0
MEDIUM CVE-2023-2800 4.7
HIGH CVE-2023-6730 8.8
HIGH CVE-2023-7018 7.8
CRITICAL CVE-2024-3568 9.6
UNKNOWN CVE-2024-3924 -
HIGH CVE-2025-24357 8.8

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